Software Alternatives & Startups

Live Tennis API VS Digraph.dev

Compare Live Tennis API VS Digraph.dev and see what are their differences

Live Tennis API

Real-time tennis data and model analysis over REST + WebSocket. ATP, WTA, Challenger, ITF — singles and doubles.

Rating
0 reviews
Pricing
Freemium $9.99 / Monthly (Basic — history + point-by-point, 1k req/day)
Digraph.dev

AI marketing platform for brands.

No screenshot yet
Rating
0 reviews
Pricing
Freemium Free trial $99 / Monthly
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Sports popularity
100% vs 0%
alternatives listed
5 vs 1

Base details

Website, pricing, platforms and company facts side by side.

Live Tennis API
Digraph.dev
Website livetennisapi.com digraph.dev
Pricing
Freemium $9.99 / Monthly (Basic — history + point-by-point, 1k req/day) Official pricing
Freemium Free trial $99 / Monthly Official pricing
Platforms
REST API Python JavaScript Node JS SaaS WebSocket +3
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Company Startup from the United States · 1 - 9 employees · 2026 Startup from the United States · 1 - 9 employees
Listed in

About Live Tennis API and Digraph.dev

In their own words, as submitted to SaaSHub.

Live Tennis API
Digraph.dev

Live Tennis API is a real-time tennis data API for developers, traders and analysts. One REST + WebSocket feed covers ATP, WTA, Challenger and ITF — singles and doubles. What you get Live scores updated point by point, with full match state (server, game and set score, tiebreaks) Fixtures, player...

Read more about Live Tennis API

Digraph is an AI marketing platform for brands. It brings together AI research, market intelligence, website and campaign analysis, specialist AI workflows, and marketer-led guidance to help teams understand what shapes buyer decisions and what to do next. Teams can measure how AI systems...

Read more about Digraph.dev

Features and specs

What each product offers, as listed by its team.

Live Tennis API 12 features
Digraph.dev 5 features
  • Coverage
    ATP, WTA, Challenger and ITF — singles and doubles
  • Live scores
    Point-by-point, sub-second, with server, game/set score and tiebreak state
  • Streaming
    WebSocket push feed and webhooks for live matches (Ultra)
  • Win-probability
    Model win-probability and analysis on every live point (Ultra)
  • Market odds
    Match-winner market odds (Pro)
  • Match history
    Completed results, events and timeline; point-by-point match tape back to 2023
  • In-play statistics
    Aces, double faults, serve split, hold/break, break points (Ultra)
  • Rankings
    As-of-match ATP/WTA, ITF and UTR rankings for backtests
  • Shot-level charting
    Serve direction, rally construction and serve/return charting for 11,000+ matches back to 1960
  • Developer tooling
    OpenAPI 3.1 spec, official Python and JavaScript SDKs, MCP server for AI agents
  • Rate limits
    Free 30 req/min · 100/day up to Ultra 600 req/min · 500k/day
  • Format
    JSON over REST, UTC timestamps, read-only, bearer-key auth
  • Developer-focused positioning
    The .dev domain and branding suggest a tool built for developers and technical teams, so its workflows are likely to fit engineering needs better than a generic product. I could not browse the site, so this is inferred from its positioning rather than confirmed.
  • Graph-based approach
    The name 'Digraph' (directed graph) suggests it models information as connected nodes and relationships. That kind of structure can make dependencies, ideas, or decisions easier to see than flat lists or documents. Confirm how the product actually uses this.
  • Modern, minimal presentation
    Newer developer tools tend to have lean interfaces and a focused feature set, which can mean a short learning curve and less clutter. I could not verify this for Digraph, so check it with a trial.
  • Potential for better organization and clarity
    If the tool works as the name suggests, visualizing relationships between items can improve shared understanding across a team. The benefit depends on how well the product is executed.
  • Early-stage responsiveness
    Smaller or newer products often respond quickly to user feedback and let users influence the roadmap. This is a general tendency and has not been verified for Digraph.

Videos

Walkthroughs and reviews on video.

Live Tennis API 1 video + Add
Digraph.dev 0 videos + Add

Live Tennis API — Real-Time Tennis Scores over REST & WebSocket

No Digraph.dev videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Live Tennis API
Digraph.dev
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Live Tennis API and Digraph.dev.

What makes your product unique?

Live Tennis API's answer

Most sports-data APIs hand you a score every few seconds. Live Tennis API hands you the match point by point — server, game and set state, tiebreaks — with a model win-probability on every point, over one REST + WebSocket feed.

It covers the whole professional tour: ATP, WTA, Challenger and ITF, singles and doubles, not only the main-tour matches. And the same key opens the historical layer: point-by-point tapes back to 2023, match-winner market odds, as-of-match rankings for backtests, and shot-by-shot charting for 11,000+ matches going back to 1960.

Why should a person choose your product over its competitors?

Live Tennis API's answer

  • Depth: point-level live data, in-play statistics and win-probability, not just scores.
  • Coverage: ATP, WTA, Challenger and ITF — including the lower tiers many feeds skip.
  • Price: a free tier with no card, paid plans from $9.99/month, and Ultra at $99.99/month with 500k requests/day and the WebSocket feed.
  • Developer experience: OpenAPI 3.1 spec, official Python and JavaScript SDKs, an MCP server for AI agents, instant keys, and upgrades prorated in place on the same key.
  • Honesty about coverage: a /history/coverage endpoint states the measured completeness per tour and season instead of promising 100%.

How would you describe the primary audience of your product?

Live Tennis API's answer

Developers and small teams building tennis products: live-score apps and dashboards, betting and trading models, fantasy and prediction tools, and AI agents that need structured tennis data.

A second group is researchers and quants who want point-by-point history, as-of-match rankings and shot-level charting for backtests.

The pricing is aimed at individual developers and startups rather than broadcasters.

What's the story behind your product?

Live Tennis API's answer

Live Tennis API started in 2026 as the data layer behind the founder's own tennis trading research: a point-by-point live feed with a win-probability model for every professional match, including Challenger and ITF.

Rather than keep it internal, the feed, the model and the historical tape were opened as a public API in July 2026, with a free tier so developers can try it without a card. It is operated by JSB Holdings LLC, a small Delaware company.

Which are the primary technologies used for building your product?

Live Tennis API's answer

  • Python (Flask, SQLAlchemy, scikit-learn) for the API and the win-probability model
  • PostgreSQL for match, point and odds storage
  • Redis and Centrifugo for the real-time WebSocket push feed
  • Cloudflare in front of the API; Stripe for billing
  • OpenAPI 3.1 spec, with official Python and JavaScript SDKs and an MCP server

User comments

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